# top_dd = top_dd.drop_duplicates()
ct_Duration_format_Values = ct.get_Duration_format_Values(ct.Duration_format_trade, market_sort_value[:])
top_dd = top_dd.loc[:, ct_Duration_format_Values]
print cct.format_for_print(top_dd)
# dfgui.show(top_dif)
# if cct.get_now_time_int() < 930 or cct.get_now_time_int() > 1505 or (cct.get_now_time_int() > 1125 and cct.get_now_time_int() < 1505):
# print cct.format_for_print(top_dif[-10:])
# print top_all.loc['000025',:]
# print "staus",status
if status:
for code in top_dd[:10].index:
code = re.findall('(\d+)', code)
if len(code) > 0:
code = code[0]
kind = sl.get_multiday_ave_compare_silent(code)
# print top_all[top_all.low.values==0]
# else:
# print "\t No RealTime Data"
else:
print "\tNo Data"
int_time = cct.get_now_time_int()
if cct.get_work_time():
if int_time < ct.open_time:
cct.sleep(ct.sleep_time)
elif int_time < 930:
cct.sleep((930 - int_time) * 55)
# top_all = pd.DataFrame()
time_s = time.time()
else:
else:
# print "Good Morning!!!"
top_dif = top_dif.sort_values(by=['diff', 'percent', 'ratio'], ascending=[0, 0, 1])
# top_all=top_all.sort_values(by=['percent','diff','counts','ratio'],ascending=[0,0,1,1])
# print rl.format_for_print(top_dif[:10])
print rl.format_for_print(top_dif[:10])
# print top_all.loc['000025',:]
# print "staus",status
if status:
for code in top_dif[:10].index:
code = re.findall('(\d+)', code)
if len(code) > 0:
code = code[0]
kind = sl.get_multiday_ave_compare_silent(code)
# print top_all[top_all.low.values==0]
# else:
# print "\t No RealTime Data"
else:
print "\tNo Data"
int_time = cct.get_now_time_int()
if cct.get_work_time():
if int_time < 925:
time.sleep(30)
elif int_time < 930:
time.sleep((930 - int_time) * 60)
top_all = pd.DataFrame()
time_s = time.time()
else:
